国米10人出战国际比赛日合计出场1083分钟，米兰11人979分钟（国际比赛日出场统计：国米10人累计1083分钟，米兰11人共979分钟）

Analyzing player fatigue

I’m computing player minutes for Inter and Milan. Inter players averaged 19.3 more minutes than Milan, which is about 21.7% more. There’s a fatigue effect to consider, so providing rest days before their next match makes sense. I’m thinking about how to evaluate risk, like travel distances and minutes played, especially if players exceeded 180 minutes, indicating multiple matches. Milan's average seems to suggest many played an entire game and maybe friendlies. I'll provide prep suggestions like rotation and monitoring RPE. It seems the user speaks Chinese, so I should respond in that language.Calculating player minutes

This task seems straightforward, and I don't need a complex plan. I’ll keep it concise and provide quick comparative insights. For Inter, with 10 players, the total is 1083 minutes, averaging out to 108.3 minutes per player. Typically, during an international window, players might reach max 180 minutes across two games, but some could exceed that. It looks plausible some played higher than 180.

For Milan, with 11 players, the total is 979, averaging 89 minutes per player. So, Inter players have a 104-minute total advantage and 19.3 minutes more per player. The relative workload ratio is about 1.217. Is that clear?Evaluating player fatigue risk

I’m considering the fatigue risk, noting that players over 150 minutes likely started both matches, while those under 45 probably had cameos. I can't fetch travel distances, but I could suggest a simple model to estimate fatigue, plus maybe consider upcoming fixtures like a Milan derby.

Here’s a quick comparison:

• Inter: 10 players, total 1083 minutes, averaging 108.3 minutes each.
• Milan: 11 players, total 979 minutes, averaging 89.0 minutes each.
• Total time difference is 104 minutes, with an average difference of 19.3 minutes (about +21.7%).

I should ask if the user wants specific breakdowns or visualizations.